---
language:
- zl
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-xls-r-300m-zu-1hr-v1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# wav2vec2-large-xls-r-300m-zu-1hr-v1

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the fluers dataset.
It achieves the following results on the evaluation set:
- Loss: 23.3411
- Wer: 1.0
- Cer: 1.5012

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer | Cer    |
|:-------------:|:------:|:----:|:---------------:|:---:|:------:|
| No log        | 0.9231 | 6    | 23.3703         | 1.0 | 1.4645 |
| No log        | 2.0    | 13   | 23.3671         | 1.0 | 1.4680 |
| No log        | 2.9231 | 19   | 23.3600         | 1.0 | 1.4756 |
| No log        | 4.0    | 26   | 23.3411         | 1.0 | 1.5012 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1